A Generative Model Based Kernel for SVM Classification in Multimedia Applications

Abstract

Over the last years significant efforts have been made to develop kernels that can be applied to sequence data such as DNA, text, speech, video and images. The Fisher Kernel and similar variants have been suggested as good ways to combine an underlying generative model representing the feature space and discriminant classifiers such as SVM’s. In this paper… (More)

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